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  • Data Analysis

Data Analysis Courses

Data analysis courses can help you learn statistical methods, data visualization techniques, and data cleaning processes. You can build skills in interpreting trends, making data-driven predictions, and communicating insights effectively. Many courses introduce tools like Excel, Python, and SQL, that support manipulating datasets and performing complex analyses. You'll also explore topics such as regression analysis, machine learning basics, and data storytelling, equipping you with practical knowledge to tackle real-world data challenges.


Popular Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, Data Visualization, Interactive Data Visualization, Design Thinking, Applied Machine Learning, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Validation, Verification And Validation, Machine Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    248 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, AI Product Strategy, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Social Sciences, Responsible AI, Analytics, Machine Learning, Data Mining, Case Studies, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    674 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Modeling for Data Science Applications

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    53 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Marketing

    Skills you'll gain: Marketing Analytics, Advanced Analytics, Customer Retention, Analytics, Predictive Modeling, Marketing, Data Analysis, Social Network Analysis, Data Ethics, Customer Insights, Market Analysis, Text Mining, Predictive Analytics, Responsible AI, Consumer Behaviour, Pandas (Python Package), Marketing Strategy and Techniques, Digital Marketing, Machine Learning, Generative AI

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    188 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    53 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering Power BI for Data Analytics & Storytelling

    Skills you'll gain: Relational Databases, Data Modeling, Database Management, Data Analysis Expressions (DAX), Advanced Analytics, Data Management, Data Governance, Microsoft Excel, Amazon Web Services, Data Integration, Data Security, Cloud Computing, Data Warehousing, Data Integrity, Data Manipulation, Data Access, Spreadsheet Software, Cloud Applications, Anomaly Detection, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Analysis, Metadata Management, Cell Biology, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 3 - 6 Months

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In summary, here are 10 of our most popular data analysis courses

  • Python Data Products for Predictive Analytics: University of California San Diego
  • Data Science Fundamentals, Part 2: Pearson
  • Generative AI for Data Engineers: IBM
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • Statistical Modeling for Data Science Applications: University of Colorado Boulder
  • Applying Data Analytics in Marketing: University of Illinois Urbana-Champaign
  • Data Science con Python e R: Università di Napoli Federico II
  • Google BigQuery for Data and ML Engineers: Pearson
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Mastering Power BI for Data Analytics & Storytelling: Edureka

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